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基于LS-SVM的世界海运需求量预测
引用本文:乐惠容,阮巍.基于LS-SVM的世界海运需求量预测[J].船海工程,2010,39(2).
作者姓名:乐惠容  阮巍
作者单位:上海海事大学,商船学院,上海,200135
基金项目:上海市重点学科建设项目 
摘    要:针对世界海运需求量预测中存在的非线性、复杂性和不确定性,提出基于LS-SVM(最小二乘支持向量机)世界海运需求量预测模型,通过预测实验,并与其他几种常见模型预测结果比较,表明该模型具有预测精度高、速度快、容易实现等优点.

关 键 词:世界海运需求量  最小二乘支持向量机  预测模型

Prediction for the World Shipping Demand Based on LS-SVM
Authors:LIE Hui-rong  RUAN Wei
Institution:LE Hui-rong,RUAN Wei(College of Merchant Ship,Shanghai Maritime University,Shanghai 200135,China)
Abstract:With consideration of the non-linearity,complexity,and uncertainty of the prediction problem in demand in world shipping,a new prediction model for demand in world shipping based on LS-SVM(least squares support vector machine) was put forward.A concrete prediction experiment for demand in world shipping was carried out.Compared with some other models,the model proposed proved to be higher in forecasting speed and accuracy,and easier to realize.
Keywords:demand in world shipping  least squares support vector machine  prediction model  
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